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Best all-in-one data platform
What do you like best about the product?
It's a solid solution for Apache Spark and has excellent performance
What do you dislike about the product?
Clusters often take up a lot of time to start up.
What problems is the product solving and how is that benefiting you?
I like it for the ease of querying data
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Easy to Use
What do you like best about the product?
The most efficient data platform that I've used so far from an ease of use perspective. Our business users and data scientists love this platform too.
What do you dislike about the product?
The cost is certainly a challenge when justifying the usage to our businesses.
What problems is the product solving and how is that benefiting you?
The UI is very user friendly and the favorite tool for data analytics at my firm.
More Robust than other platforms
What do you like best about the product?
I'm traditionally a SQL Data Engineer, but after getting into Databricks, I'm seeing the advantages of using both SQL and Python depending on the DE task, and with how simple Databricks optimizes what used to be a manual process for me, I would prefer to stick with this as my Lakehouse Platform of choice.
What do you dislike about the product?
I do think some platforms are a little easier to get started on.
What problems is the product solving and how is that benefiting you?
Organizing our disparate data sources and making it easy to transform and store using the medallion architecture.
Love the Lakehouse
What do you like best about the product?
The Databricks Lakehouse platform is so easy to use and integrate with. I could never look back!
What do you dislike about the product?
This is not specific to Databricks, but actually my company's implementation of Databricks currently. We are not utilizing it to its fullest and really should be!
What problems is the product solving and how is that benefiting you?
Databricks for me personally is helping to gather and make insights off of the retailer data that we have coming in today to better prepare our sales team
Great alternative for traditional data warehousing
What do you like best about the product?
Lakehouse platform can take data operations and consumption to future
What do you dislike about the product?
A good couple of features still needs development. *but development is continuous.
What problems is the product solving and how is that benefiting you?
Cost and complexity of traditional data warehousing.
Love the platform!!!
What do you like best about the product?
I love how the platform unifies data engineering, data visualizing, ML workloads and governance, among many other aspects of Data and AI. The company is continuing to innovate and improve the platform and add new features.
What do you dislike about the product?
Sometimes the documentation for new features is too scarce and hard to read. This gets fixed over time but should be addressed as soon as new features are released
What problems is the product solving and how is that benefiting you?
The platform helps process massive amounts of data quickly and cost-efficiently. It also helps me with training and deploying machine learning models as well as governing data assets
Great unified platform
What do you like best about the product?
It's unified and provides a great way to have all the data and model code in one place.
What do you dislike about the product?
It does not include containerization in an application-level.
What problems is the product solving and how is that benefiting you?
It allows all the code to be in one place and have an unified managed space.
about 1 year exp
What do you like best about the product?
open source, easy to use and available on both azure and aws
What do you dislike about the product?
im using on the gov cloud, so not much of the new ai services are out yet
What problems is the product solving and how is that benefiting you?
all if not most of it, the etl is being done on databricks and some analytics
Makes It Easy to Connect Various Data Sources in a Unified Interface
What do you like best about the product?
Lakehouse makes connecting data from a variety of sources very straightforward and allows our teams to easily merge datasets and annotate data. This makes our processes much more streamlined.
What do you dislike about the product?
It would be advantageous to have support for various types of developer tools; our use case is internal API development, and it would be beneficial to have the ability to test how schemas can affect downstream API endpoints.
What problems is the product solving and how is that benefiting you?
Uniting data from various sources, creating data pipelines, and annotating data using the Bronze / Silver / Gold DLT feature has been extremely helpful to us in our application development.
One location for all your data needs
What do you like best about the product?
Having worked in various data platforms over the last 30 years I found DataBricks to be easy to deploy and easy to understand. Allowing for fantastic performance and usefulness.
What do you dislike about the product?
The biggest struggle is trying to convince old-school relational DW Architects that they should modernize before they get left behind. Eliminating the fear by explaining to them they can still use SQL.
What problems is the product solving and how is that benefiting you?
We utilize Databricks for large-scale data analytics and data science. DataBricks ease of deployment allows for easy data ingestion from various sources and simple integration with enterprise-level analytics tools.
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